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Machine Learning Methods

164 published articlesPart of Artificial Intelligence

Latest in Machine Learning Methods

Artificial IntelligenceMachine Learning MethodsPreprint

AI agents score higher with verifier-guided training, preprint reports

VICT uses a task's terminal verifier to trace credit through long action sequences instead of using it only as a final pass-or-fail signal. In ALFWorld and WebShop tests, it beat GRPO and achieved higher validation AUC over the same 300 updates, while the authors caution that verifier-defined links do not establish causal necessity.

Scientific publication4 min read

Artificial IntelligenceMachine Learning MethodsPreprint

Study Links Varied AI Refusals to Less Effective One-Vector Attacks

A computational case study found that more varied first tokens in refusal completions were associated with higher stable rank and smaller refusal changes after a target-set-adapted single-vector ablation. The pattern appeared in frozen-model analyses and controlled fine-tuning, but the study did not establish transfer to unseen prompts.

Scientific publication5 min read

Artificial IntelligenceMachine Learning MethodsPeer-reviewed

Machine-learning model shows promise for liver fibrosis screening

A machine-learning model identified liver fibrosis more accurately than standard scoring tools in a validation group of people previously infected with Schistosoma japonicum. The result is promising, but the study was cross-sectional and drew on one province in China, so it does not yet show that the model improves care or works elsewhere.

Infectious diseases of poverty4 min read

Artificial IntelligenceMachine Learning MethodsPreprint

Preprint Tests a Multimodal Tennis Model With Nine Players

A nine-player modeling study evaluated PART, a multimodal framework that combines several tennis data streams to estimate wellness, injury risk, physical capability and playing style. Its reported scores apply to this dataset, with no external validation population reported.

2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS), pp. 28-34, 20254 min read

Artificial IntelligenceMachine Learning MethodsPreprint

Preprint reports stronger attack resistance for a federated AI defense

A new arXiv preprint reports that attack transfer was associated with differences between attacker and victim models and their client data. In simulations on CIFAR-10 and SVHN, its proposed defense generally scored higher against four transfer-based attacks than Federated Adversarial Training, while clean accuracy remained competitive.

Scientific publication4 min read